Cloud Agility Report Uncovers Enterprise Cloud Challenges

Despite the growing shift of enterprises adopting a cloud-first strategy, there are still some challenges faced by worldwide enterprises looking to make the transition and expand their cloud reach.

These findings were published in a new report, Gain the Ability for Cloud Agility: Assessing Enterprise Capacity to Embrace a Multi-Cloud Strategy.

The research, launched by Business Performance Innovation (BPI) Network, examines cloud adoption and multi-cloud strategies at an enterprise level, with a focus on cloud agility.

Cloud agility includes the ability to move data across clouds to increase business cost-efficiencies, drive better data analytics and performance, and ensure industry compliance.

Most companies are moving to multi-cloud and hybrid-cloud environments that mix and match private and public clouds with on-premise systems.

The multi-cloud architecture is proving popular, but not without its challenges of implementing a flexible multi-cloud strategy where data can be moved freely to the cloud of choice without interruptions and manual reconfigurations.

MicrosoftAzure is a cloud computing infrastructure and platform aimed at the building, deploying and managing of applications and services. You may hear us talk about Infrastructure as a Service (IaaS) and Platform as a Service (PaaS).

According to the research, enterprises value the ability to switch between clouds to access cloud-specific applications and lower IT costs by opting for better-priced cloud services depending on specific business requirements.

Furthermore, enterprises face challenges in migrating and replicating data across multi-cloud environments, since data replication can be a complex and costly process. Particularly of interest is the ability to replicate data to selective cloud end-points to access relevant applications.

The increased need to mine and analyse data of greater value and intelligence drives the demand for real-time applications, connected devices, and big data analysis. These become essential to sift through the massive unstructured data generated by business operations.

Aside from a cloud data management solution and architecture orchestration, other major concerns reflect corporate policy compliance, data security and geo-sovereignty, and the necessity of new cloud skills to address innovative cloud thinking.

These findings were highlighted through in-depth research and interviews with top IT executives and corporate teams from major companies like DHL or Coca-Cola.

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